Engineering Human Stigmergy

Șușnea, Ioan

doi:10.15837/ijccc.2015.3.87

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…The update process of the global pheromone map is based on the potential field model [23]. At each time step, it computes the intensity at distance d k from each pheromone k using equation 1:…”

Section: B Implementing Stigmergy In Jasonmentioning

confidence: 99%

Implementing Virtual Pheromones in BDI Robots Using MQTT and Jason (Short Paper)

Bottone

Palumbo

Primiero

et al. 2016

2016 5th IEEE International Conference on Cloud Networking (Cloudnet)

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Abstract-Robotic coordination is a crucial issue in the development of many applications in swarm robotics, ranging from mapping unknown and potentially dangerous areas to the synthesis of plans to achieve complex tasks such as moving goods between locations under resource constraints. In this context, stigmergy is a widely employed approach to robotic coordination based on the idea of interacting with the environment by means of markers called pheromones. Pheromones do not need to be "physical marks", and a number of works have investigated the use of digital, virtual pheromones. In this paper, we show how the concept of virtual pheromones can be implemented in Jason, a Java-based interpreter for an extended version of AgentSpeak, providing a high-level modelling and execution environment for multi-agent systems. We also exploit MQTT, a messaging infrastructure for the Internet-of-Things. This allows the implementation of stigmergic algorithms in a high-level declarative language, building on top of low-level infrastructures typically used only for controlling sensors and actuators.

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Section: B Implementing Stigmergy In Jasonmentioning

confidence: 99%

Implementing Virtual Pheromones in BDI Robots Using MQTT and Jason (Short Paper)

Bottone

Palumbo

Primiero

et al. 2016

2016 5th IEEE International Conference on Cloud Networking (Cloudnet)

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“…for group decision support systems ( [18]), stigmergic learning ( [19]), and many others (see [20]). …”

Section: Related Workmentioning

confidence: 99%

The Inn at the Crossroads – A Model of Distributed Spatial Knowledge

Șușnea¹

2016

SIC

Self Cite

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Abstract:The paper describes a simple experiment aimed to demonstrate the possibility to create distributed cognitive maps of certain environments by means of recording basic information about the purposeful motion of a population of mobile agents. The environment is assumed to consist in a set of behaviorally significant places interconnected by predefined paths, just like the inns at the crossroads used to be deployed along and across populated areas centuries ago. These active places interact with the mobile agents and create local patches of relevant navigation information, which is shared with other agents that reach the respective place. As a result, the system exhibits a globally consistent spatial behavior, using only locally available, incomplete spatial knowledge. A NetLogo simulation allowed us to compare the average distance traveled by the agents, and the average travel time before reaching their goals, with a similar system wherein the agents walk randomly. As expected, the agents using the distributed spatial knowledge reached their goals much faster than those walking randomly in the same environment. We also explore the possible applications of systems built according to the principles described here.

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“…By analysing the above examples (and those presented in [22], and [24]) it is possible to derive a general structure for systems capable to generate stigmergic interactions by means of global cognitive maps, as shown in Figure 6.…”

Section: The Behaviour Is the Messagementioning

confidence: 99%

“…Several practical use cases presented in [22] and [24] suggest that this approach may be the core for a variety of interesting applications. …”

Section: Conclusion and Further Workmentioning

confidence: 99%